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Batch Processing vs Stream Processing

Level Up Coding

When we encounter systems with large amounts of data, there are 2 main ways we can crunch that data to transform it into something useful for our organisation. One of those approaches is batch…

Real Time Data Pipeline — More Than We Expected

Analytics Vidhya

When we were considering migrating our data delivery pipeline from batches of hourly files into a real time streaming system, the reasons we had in mind were the obvious ones; to reduce the latency…

Web Services vs. Streaming for real-time machine learning endpoints

Towards Data Science

Machine learning (ML) has been one of the fastest growing trends in the industry. Many companies spend time and money on marketing campaigns to show how they use ML for business automation and…

Synchronous vs. Asynchronous data sources

Level Up Coding

One common misunderstanding, especially when testing reactive streams, is treating synchronous data sources as asynchronous. In this post I will try to explore the differences between synchronous and…...

Is Real-Time Processing Worth It For Your Analytical Use Cases?

Towards Data Science

Real-time data pipelines provide a notable advantage over batch processing — data becomes available to consumers faster. In the traditional ETL, you would not be able to analyze events from today…

Batch Learning vs. Online Learning in Machine Learning

Level Up Coding

Table of Contents 1. Introduction 2. Batch Learning 3. Online Learning 4. Comparison: Batch vs. Online Learning 5. When to Use Batch or Online Learning 6. Interview Questions for Data Scientists and M...

The Hidden Peculiarities of Realtime Data Streaming Applications

Towards Data Science

A new developer going with the microservice mindset can do more harm than good in the data streaming world. Take a look at the odd concepts which might lead to such a vulnerable path.

Introduction to Streaming Frameworks

Towards Data Science

Introduction As data architectures are becoming more and more mature, streaming is no longer considered a luxury but a technology with a wide range of applications across different industries. Because...

Comparisons amongst various methods to handle streaming data

Analytics Vidhya

In recent years, in some shopping malls, libraries, airports or port environments, we can often see some robots turning around. They are well-known for guiding customers. Not only that, in fact, some…...

Batch and Online Learning

Analytics Vidhya

In this article, you will be able to know the difference between Batch and online learning in machine learning.. “Batch and Online Learning” is published by Zahra Elhamraoui in Analytics Vidhya.

Do Real-Time Data Pipelines Even Exist?

Towards Data Science

Sharing a fresh perspective on real-time data pipelines Photo by Djim Loic on Unsplash How often have you heard these terminologies — real-time data pipelines or real-time data processing or real-tim...

📌 Webinar: Four Requirements to Efficiently Deliver Real-Time Data at Scale

TheSequence

We are happy to support Molecula’s webinar: Four Requirements to Efficiently Deliver Real-Time Data at Scale. Join us on March 2nd, 2022 | 12:00 pm CST Today accessing the fastest and freshest data at...

How to Design a Batch Processing?

Towards Data Science

We live in a world where every human interaction becomes an event in the system, whether it’s purchasing clothes online or in-store, scrolling social media, or taking an Uber. Unsurprisingly, all thes...

The Truth About Continuous Delivery

Level Up Coding

Continuous delivery is hard. There is no simple way to learn all of the moving parts required to automate packaging, configuring, deploying, testing and releasing code. It isn’t something you can…

Using Asyncio and Batch APIs for Remote Services

Mouse Vs Python

Introduction to Batch APIs In modern Python applications, it's common to access remote API using REST or other web-based technologies. Batch APIs are capable of processing multiple requests with a sin...

Synchronous vs. Asynchronous API calls

Javarevisited

Sync and Async APIs are fundamental concepts that come to mind while designing high-performing applications. One should be very clear with the sync and async concepts and their benefits and disadvanta...

Database vs Stream Processing — What it means for the Future of Data Management

Towards Data Science

When we think about data, we often think that data give human the insight to make better decisions. Therefore, an application such as a database exists to interact with the UI application to know the…...

Getting Started with Building Realtime API Infrastructure

Becoming Human: Artificial Intelligence Magazine

Mirroring the rise of API-driven applications, realtime is becoming an emerging, omnipresent force in modern application development. It is powering instant messaging, live sports feeds, geolocation…

Synchronous vs. Asynchronous API calls

Javarevisited

Sync and Async APIs are two very important concepts that come to mind while designing high-performing applications. One should be very clear with the sync and async concepts, their benefits, and their...

A Guide to Building Performant Real-Time Data Models

Towards Data Science

Data has become a critical tool for decision-making. To be actionable, data needs to be cleaned, transformed, and modeled. This process is often part of an ELT pipeline that runs at a given frequency,...

The Emerging Paradigms for Delivering Content Faster

Better Programming

Caching static and dynamic content — CDNs and Edge Computing Photo by Anders Jildén on Unsplash Before the advent of component-based frameworks like React, Svelte, and Vue, rendering all content via ...

The war of real time data: when every tick counts

Towards Data Science

Aggregated one-minute price and volume information provides valuable information. While it is enough for swing operations and certain intraday strategies/methodologies, additional Level I and Level…

A Performant Way to Query Streaming Data

Towards Data Science

Improving a real-time streaming project with ksqlDB Continue reading on Towards Data Science

What makes Amazon Kinesis Data Streams useful for streaming ?

Analytics Vidhya

Following are some of those scenarios that often occurs within various operations (Back office, IT etc..). You are most likely looking for a data ingestion solution that deals with streaming data…